Kitematic vs Kubernetes

Overview

Kitematic

Stacks67

Followers116

Votes14

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Kitematic vs Kubernetes: What are the differences?

Development Focus: One key difference between Kitematic and Kubernetes is their focus. Kitematic is primarily aimed at developers who want a simple way to set up and manage Docker containers on their local machine, with a user-friendly interface. In contrast, Kubernetes targets enterprises and DevOps teams looking to deploy, scale, and manage containerized applications in a production environment.
Orchestration Capabilities: Another important distinction lies in their orchestration capabilities. Kitematic lacks native support for orchestrating containers across multiple nodes, making it more suitable for individual developers or small projects. On the other hand, Kubernetes excels in orchestrating containers at scale, offering features like automated scaling, load balancing, and self-healing capabilities.
Scalability and High Availability: Kubernetes is designed to be highly scalable and fault-tolerant, allowing organizations to deploy and manage complex containerized applications across a cluster of machines. In contrast, Kitematic is more suited for local development or small-scale projects, lacking the robust scalability and high availability features of Kubernetes.
Resource Management: Kubernetes provides advanced resource management features, such as fine-grained control over CPU and memory allocation, allowing users to optimize the performance of their containerized applications. Kitematic, on the other hand, offers basic resource management capabilities, making it less suitable for optimizing resource utilization in production environments.
Community and Ecosystem: Kubernetes boasts a large and active open-source community, with extensive documentation, support, and a wide range of third-party integrations and plugins available. This rich ecosystem enables users to customize and extend Kubernetes according to their specific requirements. In comparison, Kitematic has a smaller community and limited ecosystem support, which may restrict its flexibility and extensibility.
Complexity and Learning Curve: Kubernetes is known for its complexity and steep learning curve, requiring users to have a deep understanding of container orchestration concepts and configurations. In contrast, Kitematic simplifies the process of managing Docker containers with its intuitive GUI, making it more beginner-friendly but less feature-rich and powerful than Kubernetes.

In Summary, the key differences between Kitematic and Kubernetes lie in their focus on development, orchestration capabilities, scalability, resource management, community support, and complexity.

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Advice on Kitematic, Kubernetes

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

GitHub

GitHub Pages

Markdown

Our whole DevOps stack consists of the following tools:

@{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
Respectively @{Git}|tool:1046| as revision control system
@{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
@{Visual Studio Code}|tool:4202| as IDE
@{CircleCI}|tool:190| for continuous integration (automatize development process)
@{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
@{SonarQube}|tool:2638| as quality gate
@{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
@{VirtualBox}|tool:774| for operating system simulation tests
@{Kubernetes}|tool:1885| as cluster management for docker containers
@{Heroku}|tool:133| for deploying in test environments
@{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
@{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
@{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
@{PostgreSQL}|tool:1028| as preferred database system
@{Redis}|tool:1031| as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
Scalability: All-in-one framework for distributed systems.
Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.

12.8M views12.8M

Comments

Anis

Founder at Odix

Nov 7, 2020

Review

I recommend this : -Spring reactive for back end : the fact it's reactive (async) it consumes half of the resources that a sync platform needs (so less CPU -> less money). -Angular : Web Front end ; it's gives you the possibility to use PWA which is a cheap replacement for a mobile app (but more less popular). -Docker images. -Kubernetes to orchestrate all the containers. -I Use Jenkins / blueocean, ansible for my CI/CD (with Github of course) -AWS of course : u can run a K8S cluster there, make it multi AZ (availability zones) to be highly available, use a load balancer and an auto scaler and ur good to go. -You can store data by taking any managed DB or u can deploy ur own (cheap but risky).

You pay less money, but u need some technical 2 - 3 guys to make that done.

Good luck

115k views115k

Comments

Michael

CEO at asencis Ltd

Jan 5, 2021

Needs advice

We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.

272k views272k

Comments

Detailed Comparison

Kitematic	Kubernetes
Simple Docker App management for Mac OS X	Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
Mac App with GUI for Docker;Create images from any folder with a Dockerfile in it;Configure environment variables;Check App logs;Easily terminal into apps;Restart apps	Lightweight, simple and accessible;Built for a multi-cloud world, public, private or hybrid;Highly modular, designed so that all of its components are easily swappable
Statistics
Stacks 67	Stacks 61.2K
Followers 116	Followers 52.8K
Votes 14	Votes 685
Pros & Cons
Pros 8 I like it because it sucks 3 No command line, Docker in one app, gui, easy to set up 2 Good for first timer 1 Easy to get started	Pros 166 Leading docker container management solution 130 Simple and powerful 108 Open source 76 Backed by google 58 The right abstractions Cons 16 Steep learning curve 15 Poor workflow for development 8 Orchestrates only infrastructure 4 High resource requirements for on-prem clusters 2 Too heavy for simple systems
Integrations
Docker	Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine

What are some alternatives to Kitematic, Kubernetes?

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Docker Machine

Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them.

Related Comparisons

Kitematic vs Kubernetes: What are the differences?

Development Focus: One key difference between Kitematic and Kubernetes is their focus. Kitematic is primarily aimed at developers who want a simple way to set up and manage Docker containers on their local machine, with a user-friendly interface. In contrast, Kubernetes targets enterprises and DevOps teams looking to deploy, scale, and manage containerized applications in a production environment.
Orchestration Capabilities: Another important distinction lies in their orchestration capabilities. Kitematic lacks native support for orchestrating containers across multiple nodes, making it more suitable for individual developers or small projects. On the other hand, Kubernetes excels in orchestrating containers at scale, offering features like automated scaling, load balancing, and self-healing capabilities.
Scalability and High Availability: Kubernetes is designed to be highly scalable and fault-tolerant, allowing organizations to deploy and manage complex containerized applications across a cluster of machines. In contrast, Kitematic is more suited for local development or small-scale projects, lacking the robust scalability and high availability features of Kubernetes.
Resource Management: Kubernetes provides advanced resource management features, such as fine-grained control over CPU and memory allocation, allowing users to optimize the performance of their containerized applications. Kitematic, on the other hand, offers basic resource management capabilities, making it less suitable for optimizing resource utilization in production environments.
Community and Ecosystem: Kubernetes boasts a large and active open-source community, with extensive documentation, support, and a wide range of third-party integrations and plugins available. This rich ecosystem enables users to customize and extend Kubernetes according to their specific requirements. In comparison, Kitematic has a smaller community and limited ecosystem support, which may restrict its flexibility and extensibility.
Complexity and Learning Curve: Kubernetes is known for its complexity and steep learning curve, requiring users to have a deep understanding of container orchestration concepts and configurations. In contrast, Kitematic simplifies the process of managing Docker containers with its intuitive GUI, making it more beginner-friendly but less feature-rich and powerful than Kubernetes.

In Summary, the key differences between Kitematic and Kubernetes lie in their focus on development, orchestration capabilities, scalability, resource management, community support, and complexity.

Kitematic vs Kubernetes

Overview